降维高斯-埃尔米特正交滤波算法

2019 5th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2019-08-01 DOI:10.1109/ICCSSE.2019.00032

Yanting Che, Dongze Lv, Jia Luo, Guangming Huang, Lei-Hua Ge

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引用次数: 0

摘要

本文提出了一种降维高斯-埃尔米特正交滤波器(DRGHQF)。与传统的GHQF算法和rao - blackwell化粒子滤波(RBPF)相比，本文提出的DRGHQF算法在计算成本和精度方面都有更好的表现。仿真结果表明，DRGHQF可以在不损失精度的情况下显著降低计算成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dimensionality Reduction Gauss-Hermite Quadrature Filter Algorithm

In this paper, a dimensionality reduction Gauss-Hermite quadrature filter (DRGHQF) is proposed. Compared with the conventional GHQF algorithm and with the Rao-Blackwellised particle filter (RBPF), the proposed DRGHQF performs better in terms of computational cost and accuracy. The simulation results indicate that the DRGHQF can significantly reduce the computational cost without incurring a loss in accuracy.

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2019 5th International Conference on Control Science and Systems Engineering (ICCSSE)

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